A quantitative study of "friends with benefi ts" relationships
Bibliographic record
Abstract
Canadian undergraduates (146 men and 135 women; ages 18-40, M = 20.9, SD = 3.4) described their experiences with friends with benefi ts relationships (FWBRs). Responses were coded and analysed using chi-square contingency tables and multinomial regression analysis. Study results link some of the previously identifi ed advantages and disadvantages of FWBRs to relational outcomes (whether the experience was positive, negative, or neutral; and willingness to enter a FWBR again). Most participants reported positive (38%) or neutral (37%) FWBR experiences, yet 40% indicated they would not enter a FWBR again. D eveloping emotional complications throughout the relationship occurred in 22% of participants, men and women equally, and strongly predicted negative outcomes (odds ratio 9.5, p < 0.001 for negative experience; odds ratio 2.8, p = 0.007 for not wanting a FWBR again). Women were also signifi cantly more likely than men to enter the relationship, hoping it would evolve into dating (p < 0.001), and to express desire to avoid a FWBR in the future (odds ratio 3.3, p < 0.001). Results indicated that other gender differences in FWBRs are nuanced, and both confi rm and depart from the traditional gender norms.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.008 | 0.003 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".